Bibliographic record
Abstract
The Master thesis The Reform of Canada's Asylum System deals with the refugee issue in Canada. Canada's asylum system has been the subject of controversy almost since its inception in the 1970s. The asylum system has been crippled by a cumbersome inland refugee determination process which resulted in a huge backlog of unresolved asylum claims. Even though various governments have tried to reform the dysfunctional system, newly implemented measures only have led to even bigger backlog and longer delays, which encourage people who are not in need of protection to make an asylum claim knowing they will be able to skip the regular but lengthy immigration process and have immediate access to a range of generous social benefits. The thesis analyzes the problems of the existing asylum system which are seen in a general access to the refugee determination process, in its expensiveness, in the inefficiency of the immigration authorities, and in long delays allowing the asylum seekers to live and work in Canada for many years. Analyzing the expected outcomes of the new reform, the thesis assesses whether the new proposal of Canadian refugee and asylum policy will be finally successful in resolving the problems that are crippling Canada's asylum system or whether it will be rather classified just as another...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".